Added a semantic search tool (#1005)
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This commit is contained in:
Thorsten Sommer authored and GitHub committed 2026-09-27 16:26:52 +02:00
1 parent 4baf21656a
commit 1eaca9b12f
91 files changed
+4248 -487

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@@ -54,24 +54,62 @@ public sealed class DataSourceLocalRetrievalService(
int Rank);
// ReSharper restore NotAccessedPositionalProperty.Local
/// <summary>
/// What kept one retrieval from covering the whole data source.
/// </summary>
/// <param name="queryWrittenByUser">Whether the query is the user's own message, which decides who hears about its problems.</param>
private sealed class RetrievalRun(bool queryWrittenByUser)
{
// Both channels search at the same time:
private readonly Lock gapLock = new();
private readonly HashSet<RetrievalGap> gaps = [];
public bool QueryWrittenByUser => queryWrittenByUser;
public void Add(RetrievalGap gap)
{
lock (this.gapLock)
this.gaps.Add(gap);
}
public IReadOnlyList<RetrievalGap> GetGaps()
{
lock (this.gapLock)
return this.gaps.Order().ToList();
}
}
public Task<IReadOnlyList<IRetrievalContext>> RetrieveDataAsync(DataSourceLocalFile dataSource, IContent lastUserPrompt, ChatThread thread, CancellationToken token = default) =>
this.RetrieveDataAsync(dataSource, lastUserPrompt, token);
public Task<IReadOnlyList<IRetrievalContext>> RetrieveDataAsync(DataSourceLocalDirectory dataSource, IContent lastUserPrompt, ChatThread thread, CancellationToken token = default) =>
this.RetrieveDataAsync(dataSource, lastUserPrompt, token);
public Task<RetrievalPage> RetrieveDataAsync(DataSourceLocalFile dataSource, string query, int page, ChatThread thread, CancellationToken token = default) =>
this.RetrievePageAsync(dataSource, query, page, new RetrievalRun(queryWrittenByUser: false), token);
public Task<RetrievalPage> RetrieveDataAsync(DataSourceLocalDirectory dataSource, string query, int page, ChatThread thread, CancellationToken token = default) =>
this.RetrievePageAsync(dataSource, query, page, new RetrievalRun(queryWrittenByUser: false), token);
private async Task<IReadOnlyList<IRetrievalContext>> RetrieveDataAsync(IInternalDataSource dataSource, IContent lastUserPrompt, CancellationToken token)
{
var query = GetQueryText(lastUserPrompt);
// The first page is what this retrieval has always returned:
var firstPage = await this.RetrievePageAsync(dataSource, GetQueryText(lastUserPrompt), 1, new RetrievalRun(queryWrittenByUser: true), token);
return firstPage.Contexts;
}
private async Task<RetrievalPage> RetrievePageAsync(IInternalDataSource dataSource, string query, int page, RetrievalRun run, CancellationToken token)
{
var pageSize = (int)dataSource.MaxMatches;
var window = RetrievalPaging.GetWindowSize(page, pageSize);
if (string.IsNullOrWhiteSpace(query))
{
logger.LogDebug("Skipping local retrieval for data source '{DataSourceName}' ({DataSourceId}) because the latest prompt does not contain text.", dataSource.Name, dataSource.Id);
return [];
logger.LogDebug("Skipping local retrieval for data source '{DataSourceName}' ({DataSourceId}) because there is no text to search for.", dataSource.Name, dataSource.Id);
return RetrievalPage.EMPTY;
}
var maxMatches = (int)dataSource.MaxMatches;
if (maxMatches == 0)
return [];
if (pageSize == 0)
return RetrievalPage.EMPTY;
//
// A data source waiting for its index is kept out of the selection before the RAG process
@@ -86,31 +124,43 @@ public sealed class DataSourceLocalRetrievalService(
if (await embeddingService.IsAwaitingReindexAsync(dataSource, token))
{
logger.LogWarning("Skipping local retrieval for data source '{DataSourceName}' ({DataSourceId}) because its index has to be built anew.", dataSource.Name, dataSource.Id);
await this.ReportRetrievalGapAsync(dataSource, "index-rebuilding", string.Format(TB("The data source '{0}' was left out of the answer: it is being indexed again and cannot be searched until that is finished."), dataSource.Name));
return [];
await this.ReportRetrievalGapAsync(dataSource, run, RetrievalGap.NOT_SEARCHED, "index-rebuilding", string.Format(TB("The data source '{0}' was left out of the answer: it is being indexed again and cannot be searched until that is finished."), dataSource.Name));
return RetrievalPage.EMPTY with { Gaps = run.GetGaps() };
}
var collectionName = DataSourceEmbeddingNames.GetCollectionName(dataSource.Id);
var vectorTask = this.SearchVectorAsync(dataSource, query, maxMatches, collectionName, token);
var bm25Task = this.SearchBm25Async(dataSource, query, maxMatches, token);
var vectorTask = this.SearchVectorAsync(dataSource, query, window, collectionName, run, token);
var bm25Task = this.SearchBm25Async(dataSource, query, window, run, token);
await Task.WhenAll(vectorTask, bm25Task);
token.ThrowIfCancellationRequested();
var hits = MergeResults(vectorTask.Result, bm25Task.Result, maxMatches);
var (hits, hasMore) = RetrievalPaging.Merge(
vectorTask.Result.Select((result, index) => FromVectorResult(result, index + 1)).ToList(),
bm25Task.Result.Select((result, index) => FromBm25Result(result, index + 1)).ToList(),
hit => hit.ChunkId,
page,
pageSize);
var gaps = run.GetGaps();
logger.LogInformation(
"Retrieved {MergedHits} local RAG hits for data source '{DataSourceName}' ({DataSourceId}). VectorCandidates={VectorHits}, BM25Candidates={BM25Hits}, RequestedPerChannel={RequestedPerChannel}.",
"Retrieved {MergedHits} local RAG hits on page {Page} for data source '{DataSourceName}' ({DataSourceId}). VectorCandidates={VectorHits}, BM25Candidates={BM25Hits}, RequestedPerChannel={RequestedPerChannel}, HasMore={HasMore}, Gaps=[{Gaps}].",
hits.Count,
page,
dataSource.Name,
dataSource.Id,
vectorTask.Result.Count,
bm25Task.Result.Count,
maxMatches);
window,
hasMore,
string.Join(", ", gaps));
return hits
var contexts = hits
.Where(hit => !string.IsNullOrWhiteSpace(hit.Text))
.Select(hit => ToRetrievalContext(hit, dataSource))
.ToList();
return new RetrievalPage(contexts, hasMore) { Gaps = gaps };
}
private async Task<IReadOnlyList<VectorSearchResult>> SearchVectorAsync(
@@ -118,6 +168,7 @@ public sealed class DataSourceLocalRetrievalService(
string query,
int maxMatches,
string collectionName,
RetrievalRun run,
CancellationToken token)
{
try
@@ -130,18 +181,18 @@ public sealed class DataSourceLocalRetrievalService(
dataSource.Name,
dataSource.Id,
vectorStore.Name);
await this.ReportRetrievalGapAsync(dataSource, "no-vector-store", string.Format(TB("The data source '{0}' was left out of the answer: its local index is not available."), dataSource.Name));
await this.ReportRetrievalGapAsync(dataSource, run, RetrievalGap.PARTLY_SEARCHED, "no-vector-store", string.Format(TB("The data source '{0}' was left out of the answer: its local index is not available."), dataSource.Name));
return [];
}
if (!DataSourceEmbeddingProviders.TryResolve(settingsManager, dataSource, out var embeddingProvider))
{
logger.LogWarning("Skipping vector retrieval for data source '{DataSourceName}' ({DataSourceId}) because the selected embedding provider is not available.", dataSource.Name, dataSource.Id);
await this.ReportRetrievalGapAsync(dataSource, "no-embedding-provider", string.Format(TB("The data source '{0}' was left out of the answer: its embedding provider is not available. Please check it in the settings."), dataSource.Name));
await this.ReportRetrievalGapAsync(dataSource, run, RetrievalGap.PARTLY_SEARCHED, "no-embedding-provider", string.Format(TB("The data source '{0}' was left out of the answer: its embedding provider is not available. Please check it in the settings."), dataSource.Name));
return [];
}
if (!await this.QueryFitsEmbeddingProviderAsync(dataSource, embeddingProvider, query, token))
if (!await this.QueryFitsEmbeddingProviderAsync(dataSource, embeddingProvider, query, run, token))
return [];
var provider = embeddingProvider.CreateProvider();
@@ -151,7 +202,7 @@ public sealed class DataSourceLocalRetrievalService(
if (vector is null || vector.Count == 0)
{
logger.LogWarning("Skipping vector retrieval for data source '{DataSourceName}' ({DataSourceId}) because query embedding returned no vector.", dataSource.Name, dataSource.Id);
await this.ReportRetrievalGapAsync(dataSource, "no-query-vector", string.Format(TB("The data source '{0}' was left out of the answer: its embedding provider '{1}' did not return a vector for your message."), dataSource.Name, embeddingProvider.Name));
await this.ReportRetrievalGapAsync(dataSource, run, RetrievalGap.PARTLY_SEARCHED, "no-query-vector", string.Format(TB("The data source '{0}' was left out of the answer: its embedding provider '{1}' did not return a vector to search with."), dataSource.Name, embeddingProvider.Name));
return [];
}
@@ -177,7 +228,7 @@ public sealed class DataSourceLocalRetrievalService(
exception,
"Vector retrieval failed for data source '{DataSourceName}' ({DataSourceId}) because the embedding provider failed. FailureReason={FailureReason}, StatusCode={StatusCode}.",
dataSource.Name, dataSource.Id, exception.FailureReason, exception.StatusCode);
await this.ReportRetrievalGapAsync(dataSource, $"provider-{exception.FailureReason}", string.Format(TB("The data source '{0}' was left out of the answer. {1}"), dataSource.Name, exception.UserMessage));
await this.ReportRetrievalGapAsync(dataSource, run, RetrievalGap.PARTLY_SEARCHED, $"provider-{exception.FailureReason}", string.Format(TB("The data source '{0}' was left out of the answer. {1}"), dataSource.Name, exception.UserMessage));
return [];
}
catch (VectorStoreUnreadableException exception)
@@ -188,31 +239,40 @@ public sealed class DataSourceLocalRetrievalService(
// answer into one the user can do something about.
//
logger.LogWarning(exception, "Vector retrieval failed for data source '{DataSourceName}' ({DataSourceId}) because its vector store cannot be read.", dataSource.Name, dataSource.Id);
await this.ReportRetrievalGapAsync(dataSource, "vector-store-unreadable", string.Format(TB("The data source '{0}' was left out of the answer: its index cannot be read anymore. You can repair it in your data source settings."), dataSource.Name));
await this.ReportRetrievalGapAsync(dataSource, run, RetrievalGap.PARTLY_SEARCHED, "vector-store-unreadable", string.Format(TB("The data source '{0}' was left out of the answer: its index cannot be read anymore. You can repair it in your data source settings."), dataSource.Name));
return [];
}
catch (Exception exception)
{
logger.LogWarning(exception, "Vector retrieval failed for data source '{DataSourceName}' ({DataSourceId}).", dataSource.Name, dataSource.Id);
await this.ReportRetrievalGapAsync(dataSource, "vector-search-failed", string.Format(TB("The data source '{0}' was left out of the answer because searching it failed."), dataSource.Name));
await this.ReportRetrievalGapAsync(dataSource, run, RetrievalGap.PARTLY_SEARCHED, "vector-search-failed", string.Format(TB("The data source '{0}' was left out of the answer because searching it failed."), dataSource.Name));
return [];
}
}
/// <summary>
/// Tells the user once that a data source cannot take part in answering.
/// Records that a data source cannot fully take part in answering, and tells the user once.
/// </summary>
/// <remarks>
/// A failed search is not an error of the chat: the model still answers, only without what
/// this data source knows. Saying so once is what keeps somebody from trusting an answer
/// which was put together without half of its sources. Saying it with every prompt would be
/// worse than saying nothing, which is why every gap is reported once per session.
///
/// The retrieval records every gap regardless, cf. RetrievalPage.Gaps: whoever asked for the
/// page has to know each time, not once per session.
/// </remarks>
/// <param name="dataSource">The data source which could not be searched.</param>
/// <param name="run">The retrieval this gap belongs to.</param>
/// <param name="gap">What the gap means for the search.</param>
/// <param name="gapKey">What kind of gap this is, so a different problem is reported again.</param>
/// <param name="userMessage">What to tell the user.</param>
private async Task ReportRetrievalGapAsync(IInternalDataSource dataSource, string gapKey, string userMessage)
private async Task ReportRetrievalGapAsync(IInternalDataSource dataSource, RetrievalRun run, RetrievalGap gap, string gapKey, string userMessage)
{
run.Add(gap);
if (!IsForTheUser(gap, run.QueryWrittenByUser))
return;
lock (this.retrievalGapLock)
{
if (!this.reportedRetrievalGaps.Add($"{dataSource.Id}::{gapKey}"))
@@ -222,23 +282,38 @@ public sealed class DataSourceLocalRetrievalService(
await MessageBus.INSTANCE.SendWarning(new(Icons.Material.Filled.SearchOff, userMessage));
}
/// <summary>
/// Whether the user has to hear about a gap.
/// </summary>
/// <remarks>
/// Problems of the data source are for the user, since only the user can fix them. Problems of
/// the query are for whoever wrote it. When the model worked the query out, telling the user
/// their message was too long would be wrong, and the model learns about it from the page and
/// can search with a shorter one.
/// </remarks>
/// <param name="gap">What the gap means for the search.</param>
/// <param name="queryWrittenByUser">Whether the query is the user's own message.</param>
/// <returns>True when the user has to be told.</returns>
internal static bool IsForTheUser(RetrievalGap gap, bool queryWrittenByUser) => gap is not RetrievalGap.QUERY_NOT_SEARCHABLE || queryWrittenByUser;
private async Task<bool> QueryFitsEmbeddingProviderAsync(
IInternalDataSource dataSource,
EmbeddingProvider embeddingProvider,
string query,
RetrievalRun run,
CancellationToken token)
{
var providerTokenLimit = Math.Max(1, embeddingProvider.EffectiveTokenLimit);
if (query.Length > RustService.MAX_TOKEN_COUNT_REQUEST_TEXT_LENGTH)
{
logger.LogWarning(
"Skipping vector retrieval for data source '{DataSourceName}' ({DataSourceId}) because the latest prompt has {CharacterCount} characters and exceeds the safe tokenizer request length of {MaxCharacterCount}. ProviderTokenLimit={ProviderTokenLimit}.",
"Skipping vector retrieval for data source '{DataSourceName}' ({DataSourceId}) because the query has {CharacterCount} characters and exceeds the safe tokenizer request length of {MaxCharacterCount}. ProviderTokenLimit={ProviderTokenLimit}.",
dataSource.Name,
dataSource.Id,
query.Length,
RustService.MAX_TOKEN_COUNT_REQUEST_TEXT_LENGTH,
providerTokenLimit);
await this.ReportRetrievalGapAsync(dataSource, "query-too-long", string.Format(TB("The data source '{0}' was left out of the answer because your message is too long to search with."), dataSource.Name));
await this.ReportRetrievalGapAsync(dataSource, run, RetrievalGap.QUERY_NOT_SEARCHABLE, "query-too-long", string.Format(TB("The data source '{0}' was left out of the answer because your message is too long to search with."), dataSource.Name));
return false;
}
@@ -251,7 +326,7 @@ public sealed class DataSourceLocalRetrievalService(
dataSource.Id,
embeddingProvider.Name,
tokenCountResponse?.Message ?? "No response was returned by the tokenizer service.");
await this.ReportRetrievalGapAsync(dataSource, "no-token-count", string.Format(TB("The data source '{0}' was left out of the answer: the tokenizer of its embedding provider '{1}' is not available."), dataSource.Name, embeddingProvider.Name));
await this.ReportRetrievalGapAsync(dataSource, run, RetrievalGap.PARTLY_SEARCHED, "no-token-count", string.Format(TB("The data source '{0}' was left out of the answer: the tokenizer of its embedding provider '{1}' is not available."), dataSource.Name, embeddingProvider.Name));
return false;
}
@@ -259,20 +334,20 @@ public sealed class DataSourceLocalRetrievalService(
if (queryTokenCount > providerTokenLimit)
{
logger.LogWarning(
"Skipping vector retrieval for data source '{DataSourceName}' ({DataSourceId}) because the latest prompt has {QueryTokenCount} tokens, exceeding embedding provider '{EmbeddingProviderName}' limit of {ProviderTokenLimit} tokens.",
"Skipping vector retrieval for data source '{DataSourceName}' ({DataSourceId}) because the query has {QueryTokenCount} tokens, exceeding embedding provider '{EmbeddingProviderName}' limit of {ProviderTokenLimit} tokens.",
dataSource.Name,
dataSource.Id,
queryTokenCount,
embeddingProvider.Name,
providerTokenLimit);
await this.ReportRetrievalGapAsync(dataSource, "query-over-token-limit", string.Format(TB("The data source '{0}' was left out of the answer because your message is longer than its embedding provider '{1}' accepts."), dataSource.Name, embeddingProvider.Name));
await this.ReportRetrievalGapAsync(dataSource, run, RetrievalGap.QUERY_NOT_SEARCHABLE, "query-over-token-limit", string.Format(TB("The data source '{0}' was left out of the answer because your message is longer than its embedding provider '{1}' accepts."), dataSource.Name, embeddingProvider.Name));
return false;
}
return true;
}
private async Task<IReadOnlyList<IndexStoreSearchResult>> SearchBm25Async(IInternalDataSource dataSource, string query, int maxMatches, CancellationToken token)
private async Task<IReadOnlyList<IndexStoreSearchResult>> SearchBm25Async(IInternalDataSource dataSource, string query, int maxMatches, RetrievalRun run, CancellationToken token)
{
try
{
@@ -284,6 +359,7 @@ public sealed class DataSourceLocalRetrievalService(
dataSource.Name,
dataSource.Id,
indexStore.Name);
run.Add(RetrievalGap.PARTLY_SEARCHED);
return [];
}
@@ -302,6 +378,7 @@ public sealed class DataSourceLocalRetrievalService(
catch (Exception exception)
{
logger.LogWarning(exception, "BM25 retrieval failed for data source '{DataSourceName}' ({DataSourceId}).", dataSource.Name, dataSource.Id);
run.Add(RetrievalGap.PARTLY_SEARCHED);
return [];
}
}
@@ -312,7 +389,7 @@ public sealed class DataSourceLocalRetrievalService(
return results;
logger.LogWarning(
"Local RAG {SearchName} search returned {ReturnedHits} chunks for data source '{DataSourceName}' ({DataSourceId}), which exceeds the configured maximum {MaxMatches}. Truncating to the datasource limit.",
"Local RAG {SearchName} search returned {ReturnedHits} chunks for data source '{DataSourceName}' ({DataSourceId}), which exceeds the requested maximum {MaxMatches}. Truncating to it.",
searchName,
results.Count,
dataSource.Name,
@@ -322,47 +399,6 @@ public sealed class DataSourceLocalRetrievalService(
return results.Take(maxMatches).ToList();
}
private static IReadOnlyList<LocalRetrievalHit> MergeResults(
IReadOnlyList<VectorSearchResult> vectorResults,
IReadOnlyList<IndexStoreSearchResult> bm25Results,
int maxMatches)
{
// Future reranking should replace this deterministic channel merge.
var merged = new List<LocalRetrievalHit>(maxMatches * 2);
var seenChunkIds = new HashSet<string>(StringComparer.OrdinalIgnoreCase);
AppendHits(
merged,
seenChunkIds,
vectorResults
.Select((result, index) => FromVectorResult(result, index + 1)),
maxMatches);
AppendHits(
merged,
seenChunkIds,
bm25Results
.Select((result, index) => FromBm25Result(result, index + 1)),
maxMatches);
return merged;
}
private static void AppendHits(List<LocalRetrievalHit> merged, HashSet<string> seenChunkIds, IEnumerable<LocalRetrievalHit> hits, int maxNewHits)
{
var added = 0;
foreach (var hit in hits)
{
if (!string.IsNullOrWhiteSpace(hit.ChunkId) && !seenChunkIds.Add(hit.ChunkId))
continue;
merged.Add(hit);
added++;
if (added >= maxNewHits)
return;
}
}
private static LocalRetrievalHit FromVectorResult(VectorSearchResult result, int rank) =>
new(
RetrievalChannel.VECTOR,